2017 Fiscal Year Final Research Report
Study of iterative image reconstruction using compressed sensing and motion correction
| Project/Area Number |
26461832
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
HASHIMOTO TAKEYUKI 杏林大学, 保健学研究科, 教授 (30269542)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Keywords | MRI / compressed sensing / image reconstruction / wavelet transform / total variation / numerical evaluation / visual evaluation |
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| Outline of Final Research Achievements |
We performed numerical and visual evaluation of 2D radial CS by numerical simulation using Brainweb MRI Data Base. Three brain anatomical ROIs (white matter, gray matter, cerebrospinal fluid) of a T1-weigthted image (T1WI), T2WI and PDWI were used for numerical evaluation. Projection of 80 spokes with linear sampling 256 pixels was used. Reconstruction was performed by minimizing L1 norm of transformed image using wavelet transform and spatial finite-differences, subject to data fidelity constraint. In the absence of noise, Root mean square error (RMSE) of T1WI was in the range of 3.75 to 5.05; that of anatomical ROIs was in the range of 1.54 to 10.24; those of T2WI were 8.75 to 11.65 and 4.31 to 6.99; those of PDWI were 3.44 to 4.46 and 1.34 to 3.09. Visual evaluation was performed by three radiologists on the basis of three categories: artifact, anatomical structure, tissue contrast. Average percent score of visual evaluation was 96% for T1WI; 74-81% for T2WI, and 81-89% for PDWI.
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| Free Research Field |
医用画像情報学
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